Senior Data Analyst
5 hours ago
Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a week to apply.
Work schedule: Monday to Friday, 3PM to 11PM Manila time, overlaps with UK operating hours
Employment type: Permanent
Location: Makati City, Metro Manila
Pay range: We value transparency and want to ensure a good fit for both parties. We encourage applicants who are comfortable within the salary range of Php 55,000 to 75,000 to apply.
Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge.
We are looking for a Senior Data Analyst with a passion for working with data and strong numerical skills to join the Assessment Measurement department of Cambridge Assessment English. The Senior Data Analyst will provide data analysis and psychometric support for a variety of English language tests.
Why Cambridge?
Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe.
Joining Cambridge's second largest global office in the Philippines -operating for over 22 years with 1,300+ colleagues- means becoming a part of an extraordinary institution renowned worldwide. We are recognised as a Great Place to Work for three consecutive years, reflecting our inclusive culture, strong sense of purpose, and commitment to the professional growth and well-being of our people. At Cambridge, we don't just publish books or deliver tests-we empower progress, inspire curiosity, and champion the pursuit of knowledge.
What can you get from Cambridge?
At Cambridge, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development. Here, we provide the right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for.
The organization offers a wide range of benefits and opportunities including:
- Regular Employment on Day 1
- HMO Coverage and Life Insurance on Day 1
- Paid Annual Leaves (Vacation, Well-being, Flexible, Holiday, and Volunteering leaves)
- Vesting/Retirement package
- Opportunities for career growth and development
- Access to well-being programs
- Flexible schedule, hybrid work arrangement and work-life balance
- Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures
Reporting to the Senior Data & Analytics Manager, your accountabilities will include:
- Carry out and interpret the results of core operational data analysis for Cambridge English Exams. Analysis includes standard and ad-hoc processes around trialling, marking, grading, malpractice detection and post exam evaluation.
- Identify innovative solutions to improve the processes and systems used for data analytics: designing, developing and testing new analysis and data processing routines for departmental use.
- Conduct small scale research projects and provide analysis for larger research activities to ensure that specific processes and technology areas support the quality of Cambridge English products.
- Provide data analysis and interpretation to support projects and new business initiatives.
What makes you the ideal candidate for this role?
An ideal candidate has the following qualities:
Essential:
- A degree, or equivalent qualification, in statistics, mathematics, computing, psychology, language testing, educational measurement, or social sciences with a strong analytical focus.
- Ability to program in an analytical language (e.g. SAS, Python, R, SQL).
- Familiarity with research methods and statistical analysis procedures
- Strong analytical, problem-solving, and influencing skills; able to communicate data insights clearly to both technical and non-technical audiences.
- The ability to work as part of a team
- Knowledge of statistical methods used in assessment and educational measurement
Applications received through the system will be reviewed on a rolling basis and may close the vacancy once sufficient applications are received. Therefore, if you are interested, tailor-fit your CV (advantageous if you submit one with a Cover Letter) and submit as early as possible.
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